CN111404168B - Flexible air conditioner load-based dispatching system and method for stabilizing overload of transformer substation - Google Patents
Flexible air conditioner load-based dispatching system and method for stabilizing overload of transformer substation Download PDFInfo
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- CN111404168B CN111404168B CN201911249326.7A CN201911249326A CN111404168B CN 111404168 B CN111404168 B CN 111404168B CN 201911249326 A CN201911249326 A CN 201911249326A CN 111404168 B CN111404168 B CN 111404168B
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- 230000000087 stabilizing effect Effects 0.000 title claims abstract description 13
- 238000000034 method Methods 0.000 title claims abstract description 12
- 238000012544 monitoring process Methods 0.000 claims abstract description 27
- 238000004378 air conditioning Methods 0.000 claims abstract description 22
- 238000005265 energy consumption Methods 0.000 claims abstract description 4
- 230000006641 stabilisation Effects 0.000 claims abstract 2
- 238000011105 stabilization Methods 0.000 claims abstract 2
- 230000005611 electricity Effects 0.000 claims description 28
- 230000008859 change Effects 0.000 claims description 26
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- 230000001276 controlling effect Effects 0.000 claims description 10
- 230000001105 regulatory effect Effects 0.000 claims description 9
- 238000001514 detection method Methods 0.000 claims description 8
- 230000017525 heat dissipation Effects 0.000 claims description 8
- 230000009467 reduction Effects 0.000 claims description 7
- 238000011217 control strategy Methods 0.000 claims description 6
- 238000010586 diagram Methods 0.000 claims description 6
- 238000007726 management method Methods 0.000 claims description 6
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
- B60L53/60—Monitoring or controlling charging stations
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
- F24F11/58—Remote control using Internet communication
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/50—Control or safety arrangements characterised by user interfaces or communication
- F24F11/56—Remote control
- F24F11/59—Remote control for presetting
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
- F24F11/80—Control systems characterised by their outputs; Constructional details thereof for controlling the temperature of the supplied air
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
- Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/12—Electric charging stations
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
- Y02T90/167—Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S30/00—Systems supporting specific end-user applications in the sector of transportation
- Y04S30/10—Systems supporting the interoperability of electric or hybrid vehicles
- Y04S30/12—Remote or cooperative charging
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S30/00—Systems supporting specific end-user applications in the sector of transportation
- Y04S30/10—Systems supporting the interoperability of electric or hybrid vehicles
- Y04S30/14—Details associated with the interoperability, e.g. vehicle recognition, authentication, identification or billing
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- Engineering & Computer Science (AREA)
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- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- General Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Human Computer Interaction (AREA)
- Transportation (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
The invention discloses a dispatching system and a dispatching method for stabilizing overload of a transformer substation based on flexible air conditioner load, wherein the system adopts a regional control mode according to a power supply region of the transformer substation, and each region comprises: the system comprises a regional coordination scheduling system, a vehicle-mounted data acquisition control system, a charging station management system, a substation data acquisition system and a user data acquisition control system, wherein all the regions are connected with a cloud monitoring scheduling platform. The flexible air conditioning load control method is characterized in that flexible air conditioning load in a power system is flexibly scheduled, on one hand, battery energy consumption participating in scheduling the air conditioning load is controlled by detecting and adjusting the temperature of a vehicle cabin of the mobile electric vehicle, so that charging load of the electric vehicle is actively pre-adjusted; on the other hand, the set temperature of the air conditioner in the fixed room is collected and controlled, so that the load of the air conditioner of the user is pre-adjusted. The invention innovatively combines the ordered charge and discharge of the guided mobile electric automobile with the coordinated adjustment of reducing the load of the air conditioner in the fixed room, expands the equivalent capacity of the transformer substation, and realizes the stabilization of local transformer substation overload.
Description
Technical Field
The invention belongs to the field of power grid dispatching, and particularly relates to a dispatching system and a dispatching method for stabilizing overload of a transformer substation based on flexible air conditioner load.
Background
On the one hand, along with the rapid increase of national economy, the living standard of people is obviously promoted, the use ratio of air conditioners in household appliances is increasingly increased, and particularly in a typical season of winter and summer, because of the large quantity of aggregated use of the air conditioners, the load of a power grid is difficult to balance in the typical season, and the overload phenomenon of a transformer substation is serious. On the two hand, because of energy crisis and global warming, electric vehicles without tail gas emission are widely popularized, and development of new energy vehicle industry taking electric vehicles as typical has been listed in thirteen-five planning, and the development of new energy vehicle industry is a great project for promoting energy conservation and emission reduction and industry upgrading in China. However, due to the use of the vehicle-mounted air conditioner, the endurance mileage of the electric vehicle is greatly reduced, and the mileage anxiety prompts more frequent charging behaviors of users, so that the load of a power grid is further increased.
Therefore, how to manage the electricity consumption behavior of the user side by a technical means, to realize orderly electricity consumption in the typical electricity consumption peak season and to stabilize the overload of the power grid transformer substation is a subject worthy of research.
Disclosure of Invention
The technical problems to be solved by the invention are as follows: on one hand, the temperature of the vehicle-mounted air conditioner of the mobile electric automobile is actively regulated and controlled, so that the endurance mileage of the electric automobile is changed, and the electric automobile is guided to be charged and discharged orderly; on the other hand, according to the electricity consumption of the user side, the set temperature of the air conditioner in the fixed room is actively pre-adjusted, the electricity consumption load of the peak of the user is reduced, and the overload of the transformer substation is stabilized through the combined coordination adjustment of the fixed air conditioner and the user side.
The technical scheme adopted for solving the technical problems is as follows:
the flexible air conditioner load-based dispatching system for stabilizing overload of transformer substation adopts a regional control mode and comprises a dispatching platform and five subsystems:
cloud monitoring and scheduling platform: receiving and displaying operation data and states of the electric vehicle, the charging station, the transformer substation and the user in real time, obtaining a control strategy capable of reducing loads, temperature regulation and control of the electric vehicle and ordered charge and discharge decisions through data processing analysis, and issuing the control strategy and the ordered charge and discharge decisions to the regional coordination scheduling system; monitoring the situation of the electric automobile participating in power grid dispatching, the electric automobile distribution thermodynamic diagram, abnormal warning in the electric automobile dispatching process, and the load and reduction quantity situation of a user;
regional coordination scheduling system: dividing areas by using the power supply range of the urban transformer substation, and distributing unique identity codes to electric vehicles participating in dispatching and users participating in room temperature control; collecting and integrating data uploaded by a vehicle-mounted data acquisition control system, a charging station data acquisition system, a transformer substation data acquisition system and a user data acquisition control system, uploading the integrated data to a cloud monitoring and dispatching platform server, and transmitting an instruction issued by the cloud monitoring and dispatching platform to the vehicle-mounted data acquisition control system and a charging station management system;
the vehicle-mounted data acquisition control system comprises: collecting and processing data of temperature change and endurance mileage change in an electric automobile cabin, and uploading driving data to a cloud monitoring and scheduling platform;
charging station management system: collecting and processing the service condition of a charging pile of a charging station, the charging and discharging state of an electric vehicle of the charging pile, the time when the electric vehicle is connected into the charging pile, the time when the electric vehicle is expected to leave the charging pile and the expected battery electric quantity of the electric vehicle, uploading data to a server of a regional coordination and scheduling system, and receiving an ordered charging and discharging instruction issued by the regional coordination and scheduling system;
substation data acquisition system: acquiring the installed capacity of a transformer substation, acquiring the current day load change in a power supply area, and predicting a power grid load curve by combining historical power grid load data; collecting the line current of a transformer substation, and uploading the load change data of the transformer substation to a regional coordination scheduling system server;
user data acquisition control system: and collecting the electricity consumption condition of the user side in the area, and uploading the electricity consumption data of the user to the server of the area coordination scheduling system.
Further, the flexible air conditioner load scheduling module is responsible for planning of two parts: the system comprises a regional coordination scheduling system, a charging pile, a transformer substation and a mobile electric vehicle, wherein one part of the regional coordination scheduling system is used for planning the mobile electric vehicle, and according to the related data of the electric vehicle, the charging pile and the transformer substation, which are integrated by the regional coordination scheduling system, the electric vehicle is orderly charged and discharged to stabilize the overload of the transformer substation; the planning of the ordered charge and discharge of the electric automobile comprises the following steps: the current load of the power distribution network, the daily load curve of the predicted transformer substation and the load prediction curve of the electric vehicle are combined, the temperature in the cabin of the electric vehicle is regulated and controlled to reduce the whole vehicle loss of the electric vehicle, the endurance mileage of the electric vehicle is increased, the driving path from the electric vehicle to the target charging pile is optimized, and the equivalent capacity of the transformer substation is not overloaded;
the other part is fixed user room air conditioning load scheduling, and the user orderly use level is planned to suppress overload of the transformer substation according to transformer substation and user electricity consumption related data integrated by the regional coordination scheduling system; the ordered electricity utilization planning of the users is to reduce the air conditioning load of the rooms of the group users by adjusting the set temperature of the air conditioners of the rooms, so that the total load of the transformer substation is reduced;
further, the vehicle-mounted data acquisition control system comprises a vehicle cabin inner and outer temperature detection module, an infrared detection module, a driving data acquisition module, a data processing and control module and a communication module;
the vehicle cabin inner and outer temperature detection module is used for detecting the inner and outer temperature of the electric vehicle cabin by taking deltat as a period;
the infrared detection module is used for detecting the number of people in the current electric automobile;
the driving data acquisition module acquires a driving destination of the electric automobile, the residual electric quantity of the power battery, the running state of an air conditioner in the automobile, the position of the automobile and the speed of the automobile;
the data processing and control module is used for calculating the remaining endurance mileage of the electric vehicle by considering the current average power consumption of the whole vehicle; receiving an upper control instruction, executing the differential adjustment of the set temperature of the vehicle-mounted air conditioner, and providing the ordered charge and discharge path planning information of the electric vehicle;
and the communication module adopts a 4G/5G network to upload the driving data of the electric automobile to the cloud monitoring and dispatching platform and simultaneously receives ordered charge and discharge temperature regulation and control and path planning instructions issued by the cloud monitoring and dispatching platform.
Further, the user side data acquisition control system comprises a communication module, a data acquisition processing module and a control module;
the communication module receives a room temperature control instruction issued by the regional coordination scheduling system and transmits the instruction to the control module;
the data acquisition processing module acquires the electricity consumption of the user, identifies the situation that the electric equipment of the user participates in the power demand response through load analysis, and uploads the data to the regional coordination scheduling system through the communication module;
the control module executes a set temperature instruction for adjusting the room air conditioner issued by the cloud monitoring center;
the cloud monitoring and dispatching platform realizes power grid dispatching by controlling two flexible air conditioner loads, namely an electric automobile group vehicle-mounted air conditioner load and a massive user room air conditioner load, and realizes control of the whole electric automobile energy consumption and the electric automobile endurance capacity by controlling the temperature of a cabin; the power consumption of the power grid in the peak period is reduced by controlling the set temperature of the air conditioner between the user side rooms, so that peak clipping and valley filling of the power grid load are realized, and the overload of a local transformer substation is stabilized;
according to the acquired data of the electric vehicle, the charging station, the transformer substation and the user, taking the minimum power grid daily load fluctuation variance as a scheduling target, and constructing an ordered charging and discharging scheduling model and a room air conditioner regulation model of the electric vehicle clusters in running; the electric vehicle cluster ordered charge-discharge scheduling during running comprises planning a running path from an electric vehicle to a target charging station and controlling the temperature of a vehicle cabin influencing the electric quantity loss of the electric vehicle; the room air conditioner regulation model refers to pre-regulating the set temperature of the room air conditioner of a user;
forming constraint conditions of an ordered charge-discharge scheduling model of the electric vehicle according to a preset temperature controllable range of the electric vehicle, a continuous mileage range of the electric vehicle and a battery state of the electric vehicle; constructing a substation capacity constraint condition according to the substation capacity and the line capacity; according to the current load condition of the transformer substation and the predicted load change curve, the temperature in the cabin of the electric automobile is regulated in a temperature controllable range by combining the electric automobile load prediction curve so as to control the electric energy loss, the air-conditioning temperature control of a user room is regulated so as to reduce the electricity consumption condition, and the running path from the electric automobile to a target charging station is optimized in a predicted range of the endurance mileage;
the monomer electric automobile cabin temperature control modeling step is:
step S101, by adjusting the temperature T set by the air conditioner of the ith electric automobile i S (T) making the cabin temperature T of the electric automobile i V (t) maintaining the temperature within a certain range, and changing the energy consumption of the battery of the electric automobile by controlling the power consumption of the air conditioner so as to change the endurance mileage M of the electric automobile i (t). Constructing a single electric automobile cabin temperature change model:
wherein ,Ti V (t) represents the cabin temperature of the ith electric automobile; t (T) am (t) represents the ambient temperature and,
the air conditioner refrigerating capacity in the ith electric automobile is represented; />
The heat dissipation capacity of the human body of the q individuals in the ith electric automobile is represented; />
The heat dissipation capacity of other equipment in the cabin of the ith electric automobile is represented; p (P) i ac (t) represents the air conditioning refrigeration power in the ith electric automobile, COP represents the air conditioning refrigeration energy efficiency ratio, C represents the equivalent heat capacity, which is the product of the volume of the cabin and the specific heat capacity of air, R represents the equivalent thermal resistance, and is related to the thermal conductivity of the cabin;
step S102, according to the cabin temperature change model constructed in the step S101, an electric vehicle endurance mileage evaluation model after the use of an electric vehicle air conditioner is considered as follows:
wherein ,Pi MT The output power of the motor of the ith electric automobile is represented by m, the preparation quality is represented by g, the gravitational acceleration is represented by C D Represents the air resistance coefficient, A represents the windward area, v i Represents the speed eta of the ith electric automobile T Representing driveline efficiency, f representing the rolling resistance coefficient, M i (t) represents the range, ε of the ith electric vehicle bat Representing the loss coefficient of the battery of the electric automobile, B i The battery capacity of the i-th electric automobile,
represents the current state of charge, eta of the ith electric automobile battery dis Represents the discharge efficiency, eta of the battery M Indicating motor efficiency, P i as Represents auxiliary service power eta of the ith electric automobile as Representing auxiliary service efficiency of the ith electric automobile;
step S103, according to the model constructed in steps S101 and S102, the constraint conditions of charging and discharging of the electric automobile are as follows:
step S1031, the electric vehicle battery cannot be overcharged and overdischarged, and the constraint is:
wherein ,
minimum electricity for representing discharge early warning of battery of electric automobileQuantity (S)>
Representing the highest electric quantity of the battery charge of the electric automobile;
step S1032, the electric quantity of the discharged electric power after the electric automobile is charged and discharged is required to meet the customer demand, and the constraint is as follows:
wherein ,
indicating the charge quantity of the electric automobile during the connection of the electric automobile to the charging pile, < >>
Indicating the discharge electric quantity during the electric automobile is connected to the charging pile, < >>
Indicating the expected charge of the electric car user, +.>
Represents the initial electric quantity eta of the electric automobile when the electric automobile is connected into the charging pile cha Representing the charging efficiency of the electric automobile;
in step S1033, the mileage of the path planning cannot exceed the endurance mileage, and the constraint is:
0≤x total (t)≤M i (t) (7)
wherein ,xtotal And (t) represents the total travel path planned by the electric vehicle path.
The minimum power grid daily load fluctuation variance model is as follows:
wherein ,Pbase (t) represents a base load in the electrical network,
representing the load of the electric vehicle already in the grid before the new electric vehicle is incorporated into the grid, +.>
Representing the charging load of the electric vehicle newly added into the power grid and scheduled by temperature control and path planning at the moment t, < + >>
Representing the discharge load of the newly-network-accessed electric automobile scheduled by temperature control and path planning, +.>
Representing the average load of the grid;
the scheduling constraint condition is that the transformer substation cannot be overloaded, namely the load of the transformer substation cannot exceed the capacity of the transformer substation, and the formula is as follows:
P t base +P t sta +P t NL -P t RAC -P t dis ≤S N ·cosψ (10)
wherein ,Pt base Representing the base load of the power grid in the region at the moment t, P t sta Representing the charging load of the newly added electric automobile in the t moment region, P t NL Represents the line loss at the time t, P t RAC Representing the reduction amount of the air conditioner load of the room at the time t, P t dis Represents the discharge power of the electric automobile at the time t, S N Representing the rated power of the transformer, cos ψ represents the power factor of the transformer.
Drawings
FIG. 1 is a block diagram of a flexible air conditioning load dispatching system in a city according to the present invention
FIG. 2 is a schematic diagram of a flexible air conditioning load dispatching system according to the present invention
FIG. 3 is a flow chart of scheduling of stabilizing overload of a transformer substation based on flexible air conditioner load according to the invention
FIG. 4 is a diagram of an equivalent circuit for temperature variation of an air conditioner-building system according to the present invention
Detailed Description
The invention is described in further detail below with reference to the attached drawing figures:
as shown in fig. 2, the flexible air-conditioning load-based substation overload stabilizing dispatching system adopts a regional control mode and comprises a dispatching platform and five subsystems:
cloud monitoring and scheduling platform: receiving and displaying operation data and states of the electric vehicle, the charging station, the transformer substation and the user in real time, obtaining a control strategy capable of reducing loads, temperature regulation and control of the electric vehicle and ordered charge and discharge decisions through data processing analysis, and issuing the control strategy and the ordered charge and discharge decisions to the regional coordination scheduling system; monitoring the situation of the electric automobile participating in power grid dispatching, the electric automobile distribution thermodynamic diagram, abnormal warning in the electric automobile dispatching process, and the load and reduction quantity situation of a user;
regional coordination scheduling system: dividing areas by using the power supply range of the urban transformer substation, and distributing unique identity codes to electric vehicles participating in dispatching and users participating in room temperature control; collecting and integrating data uploaded by a vehicle-mounted data acquisition control system, a charging station data acquisition system, a transformer substation data acquisition system and a user data acquisition control system, uploading the integrated data to a cloud monitoring and dispatching platform server, and transmitting an instruction issued by the cloud monitoring and dispatching platform to the vehicle-mounted data acquisition control system and a charging station management system;
the vehicle-mounted data acquisition control system comprises: collecting and processing data of temperature change and endurance mileage change in an electric automobile cabin, and uploading driving data to a cloud monitoring and scheduling platform;
charging station management system: collecting and processing the service condition of a charging pile of a charging station, the charging and discharging state of an electric vehicle of the charging pile, the time when the electric vehicle is connected into the charging pile, the time when the electric vehicle is expected to leave the charging pile and the expected battery electric quantity of the electric vehicle, uploading data to a server of a regional coordination and scheduling system, and receiving an ordered charging and discharging instruction issued by the regional coordination and scheduling system;
substation data acquisition system: acquiring the installed capacity of a transformer substation, acquiring the current day load change in a power supply area, and predicting a power grid load curve by combining historical power grid load data; collecting the line current of a transformer substation, and uploading the load change data of the transformer substation to a regional coordination scheduling system server;
user data acquisition control system: and collecting the electricity consumption condition of the user side in the area, and uploading the electricity consumption data of the user to the server of the area coordination scheduling system.
Referring to fig. 3, the flexible air conditioner load-based dispatching method for stabilizing overload of the transformer substation comprises the following steps:
step S101, according to a daily load prediction curve, predicting the period of possible overload of the transformer substation under the condition of no external interference. To stabilize overload of a substation, there are two ways: firstly, adjusting the set temperature of the air conditioner in a user room to reduce the power consumption of the air conditioner so as to reduce the load on a power grid; secondly, orderly charging and discharging the electric automobile, namely, when overload of a transformer substation is possibly caused in a predicted peak period of power grid load, reversely supplying power to the power grid by the electric automobile with the pre-dispatching function, and enabling the electric automobile with the charging requirement to avoid a peak charging place and a peak load period;
step S102, unique identification codes are distributed to intelligent electric meters of the electric vehicles and the users participating in scheduling, so that collected electric vehicle and user power consumption related data are active and traceable, the issuing of ordered charge and discharge scheduling instructions is accurate to each vehicle, and the issuing of ordered power consumption scheduling instructions is accurate to each user;
step S103, referring to FIG. 4, an equivalent thermal parameter model of the air conditioner-building system is established as
wherein ,Tr (t) represents the indoor temperature, Q ac (t) represents the cooling capacity of the air conditioner,
represents the heat dissipation capacity of Q individuals in a room, Q other (T) represents the heat dissipation capacity of other electrical devices in the room, T am (t) represents an ambient temperature;
step S104, aiming at orderly charge and discharge scheduling of the mobile electric vehicle, an electric vehicle data acquisition system detects whether the electric vehicle is connected with a charge pile, if so, the step S109 is carried out; if not, go to step S105;
step S105, a vehicle-mounted data acquisition system acquires a running destination of an electric vehicle, the residual electric quantity of a power battery, the running state of an air conditioner in the vehicle, the position of the vehicle and the speed of the vehicle, and transmits the data to a regional coordination scheduling system after processing;
step S106, the regional coordination scheduling system receives relevant data from the electric automobile and informs the electric automobile user of the preferential policy; the cloud monitoring and dispatching platform provides the following advantages that the electric automobile participates in ordered charge and discharge: the discount rate of the charging electricity price increases along with the increase of the running distance, the destination deviation mileage and the running total time after the user participates in the temperature control, namely the electricity price after the user participates in the temperature control scheduling and the path planning scheduling of the target charging pile is enjoyed by the discount policy on the basis of the original power grid electricity price, and the discount rate of the electricity price is as follows:
step S1061, the electric vehicle cabin temperature change model is equivalent to a moving room temperature change model, and the electric vehicle temperature change model established by the data processing module in the vehicle-mounted data acquisition system is:
wherein ,Ti V (t) represents the cabin temperature of the ith electric automobile; t (T) am (t) represents the ambient temperature and,
the air conditioner refrigerating capacity in the ith electric automobile is represented; />
The heat dissipation capacity of the human body of the q individuals in the ith electric automobile is represented; />
The heat dissipation capacity of other equipment in the cabin of the ith electric automobile is represented; p (P) i ac (t) represents the air conditioning refrigeration power in the ith electric automobile, COP represents the air conditioning refrigeration energy efficiency ratio, C represents the equivalent heat capacity, which is the product of the volume of the cabin and the specific heat capacity of air, R represents the equivalent thermal resistance, and is related to the thermal conductivity of the cabin;
step S1062, in order to predict the change of the endurance mileage of the electric vehicle caused by temperature control, and then predict the charging requirement of the electric vehicle, the data processing module of the vehicle-mounted electric vehicle data acquisition system establishes the endurance mileage change model caused by the temperature change of the electric vehicle as follows:
wherein ,Pi MT The output power of the motor of the ith electric automobile is represented by m, the preparation quality is represented by g, the gravitational acceleration is represented by C D Represents the air resistance coefficient, A represents the windward area, v i Represents the speed eta of the ith electric automobile T Representing driveline efficiency, f representing the rolling resistance coefficient, M i (t) represents the range, ε of the ith electric vehicle bat Representing the loss coefficient of the battery of the electric automobile, B i The battery capacity of the i-th electric automobile,
represents the current state of charge, eta of the ith electric automobile battery dis Represents the discharge efficiency, eta of the battery M Indicating motor efficiency, P i as Represents auxiliary service power eta of the ith electric automobile as Representing auxiliary service efficiency of the ith electric automobile;
in step S1063, the constraint conditions of charging and discharging the electric vehicle are:
step S10631, the electric vehicle battery cannot be overcharged and overdischarged, and the constraint is:
wherein ,
representing the minimum electric quantity of the battery discharge early warning of the electric automobile, < + >>
Representing the highest electric quantity of the battery charge of the electric automobile;
step S10632, the electric quantity of the electric vehicle discharged after charging and discharging is required to meet the customer demand, and the constraint is that:
wherein ,
indicating the charge quantity of the electric automobile during the connection of the electric automobile to the charging pile, < >>
Indicating the discharge electric quantity during the electric automobile is connected to the charging pile, < >>
Indicating the expected charge of the electric car user, +.>
Represents the initial electric quantity eta of the electric automobile when the electric automobile is connected into the charging pile cha Representing the charging efficiency of the electric automobile;
in step S10633, the mileage of the path planning cannot exceed the endurance mileage, and the constraint is:
wherein ,xtotal (t) represents the total travel path planned by the electric vehicle path;
step S107, detecting whether the electric automobile user is willing to participate in temperature regulation according to the preferential policy, if so, calculating a related result according to a model established by a data processing module of the vehicle-mounted electric automobile data acquisition system in step S106, wherein the user is assumed to participate in the temperature regulation to participate in the ordered charge-discharge path planning and scheduling; if the vehicle-mounted system is not willing, directly adopting the predicted endurance mileage of the vehicle-mounted system to carry out subsequent calculation;
step S108, detecting whether the electric automobile user is willing to participate in ordered charge-discharge scheduling, if so, planning the formal track of the electric automobile, and turning to step S109; if not willing, the electric automobile is charged in disorder;
step S109, detecting whether the electric vehicle connected to the charging pile satisfies a time constraint formula (19):
wherein ,toff Time for indicating electric automobile to be connected into charging pile, t on Indicating an expected departure charge set by a user of an electric vehicleThe time for which the pile is to be run,
representing a maximum charging power;
if yes, step S112; if not, the electric automobile is charged in disorder;
step S110, aiming at the fixed user air conditioning load scheduling, a room temperature change model is established by utilizing a formula (11), the power consumption condition of a user is acquired through a user data acquisition system, and the regional coordination scheduling system informs the cloud monitoring platform of the following advantages of participating in temperature control scheduling: the electricity price discount rate increases with the decrease in the user load and the increase in the user participation time of the temperature control scheduling, namely
Step S111, detecting whether the user is willing to participate in room temperature control scheduling, and if so, turning to step S112; if not willing, the power is used out of order;
step S112, the regional coordination scheduling system uploads the relevant calculation results and data integration of the electric automobile, the charging pile, the transformer substation and the user electricity consumption to a cloud monitoring platform, and the cloud monitoring scheduling platform performs ordered charging and discharging scheduling planning and room air conditioner ordered electricity consumption scheduling on the electric automobile according to a daily forecast load curve by taking a minimum power grid daily load fluctuation variance as an objective function, wherein the model is as follows:
wherein ,Pbase (t) represents a base load in the electrical network,
indicating that a new electric vehicle has been in the grid prior to incorporation into the gridElectric automobile load->
Representing the charging load of the electric vehicle newly added into the power grid and scheduled by temperature control and path planning at the moment t, < + >>
Representing the discharge load of the newly-network-accessed electric automobile scheduled by temperature control and path planning, +.>
Representing the average load of the grid;
in step S1121, the scheduling constraint condition is that the substation cannot be overloaded, that is, the substation load cannot exceed the substation capacity, and the formula is expressed as:
P t base +P t sta +P t NL -P t RAC -P t dis ≤S N ·cosψ (23)
wherein ,Pt base Representing the base load of the power grid in the region at the moment t, P t sta Representing the charging load of the newly added electric automobile in the t moment region, P t NL Represents the line loss at the time t, P t RAC Representing the reduction amount of the air conditioner load of the room at the time t, P t dis Represents the discharge power of the electric automobile at the time t, S N Representing the rated power of the transformer, cos ψ representing the power factor of the transformer;
in step S1122, the room temperature is controlled to be changed within the comfort temperature range after the room air conditioner is pre-adjusted, and the formula is as follows:
T t min ≤T i S (t)≤T t max (24)
wherein ,Tt min 、T t max Representing the maximum and minimum values of the human comfort temperature range, respectively.
While the invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not limited to the disclosed embodiment, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (7)
1. A dispatching system for stabilizing overload of a transformer substation based on flexible air conditioner load is characterized by adopting a regional control mode and comprising a dispatching platform and five subsystems:
cloud monitoring and scheduling platform: receiving and displaying operation data and states of the electric vehicle, the charging station, the transformer substation and the user in real time, obtaining a control strategy capable of reducing loads, temperature regulation and control of the electric vehicle and ordered charge and discharge decisions through data processing analysis, and issuing the control strategy and the ordered charge and discharge decisions to the regional coordination scheduling system; monitoring the situation of the electric automobile participating in power grid dispatching, the electric automobile distribution thermodynamic diagram, abnormal warning in the electric automobile dispatching process, and the load and reduction quantity situation of a user;
regional coordination scheduling system: dividing areas by using the power supply range of the urban transformer substation, and distributing unique identity codes to electric vehicles participating in dispatching and users participating in room temperature control; collecting and integrating data uploaded by a vehicle-mounted data acquisition control system, a charging station data acquisition system, a transformer substation data acquisition system and a user data acquisition control system, uploading the integrated data to a cloud monitoring and dispatching platform server, and transmitting an instruction issued by the cloud monitoring and dispatching platform to the vehicle-mounted data acquisition control system and a charging station management system;
the vehicle-mounted data acquisition control system comprises: collecting and processing data of temperature change and endurance mileage change in an electric automobile cabin, and uploading driving data to a cloud monitoring and scheduling platform; charging station management system: collecting and processing the service condition of a charging pile of a charging station, the charging and discharging state of an electric vehicle of the charging pile, the time when the electric vehicle is connected into the charging pile, the time when the electric vehicle is expected to leave the charging pile and the expected battery electric quantity of the electric vehicle, uploading data to a server of a regional coordination and scheduling system, and receiving an ordered charging and discharging instruction issued by the regional coordination and scheduling system;
substation data acquisition system: acquiring the installed capacity of a transformer substation, acquiring the current day load change in a power supply area, and predicting a power grid load curve by combining historical power grid load data; collecting the line current of a transformer substation, and uploading the load change data of the transformer substation to a regional coordination scheduling system server; user data acquisition control system: and collecting the electricity consumption condition of the user side in the area, and uploading the electricity consumption data of the user to the server of the area coordination scheduling system.
2. The flexible air conditioner load-based substation overload stabilization scheduling system according to claim 1, wherein the cloud monitoring scheduling platform comprises a flexible air conditioner load scheduling module, a communication module, a database and an interface display module;
the flexible air conditioner load scheduling module is responsible for planning two parts: the system comprises a regional coordination scheduling system, a charging pile, a transformer substation and a mobile electric vehicle, wherein one part of the regional coordination scheduling system is used for planning the mobile electric vehicle, and according to the related data of the electric vehicle, the charging pile and the transformer substation, which are integrated by the regional coordination scheduling system, the electric vehicle is orderly charged and discharged to stabilize the overload of the transformer substation; the planning of the ordered charge and discharge of the electric automobile comprises the following steps: the current load of the power distribution network, the daily load curve of the predicted transformer substation and the load prediction curve of the electric vehicle are combined, the temperature in the cabin of the electric vehicle is regulated and controlled to reduce the whole vehicle loss of the electric vehicle, the endurance mileage of the electric vehicle is increased, the driving path from the electric vehicle to the target charging pile is optimized, and the equivalent capacity of the transformer substation is not overloaded;
the other part is fixed user room air conditioning load scheduling, and the user orderly use level is planned to suppress overload of the transformer substation according to transformer substation and user electricity consumption related data integrated by the regional coordination scheduling system; and the ordered electricity utilization planning of the users is to reduce the air conditioning load of the rooms of the group users by adjusting the set temperature of the air conditioners of the rooms, so that the total load of the transformer substation is reduced.
3. The flexible air conditioner load-based dispatching system for stabilizing overload of transformer substation according to claim 1, wherein the vehicle-mounted data acquisition control system comprises a cabin inner and outer temperature detection module, an infrared detection module, a driving data acquisition module, a data processing and control module and a communication module;
the vehicle cabin inner and outer temperature detection module is used for detecting the inner and outer temperature of the vehicle cabin of the electric vehicle by taking deltat as a period;
the infrared detection module is used for detecting the number of people in the current electric automobile;
the driving data acquisition module acquires a driving destination of the electric automobile, the residual electric quantity of the power battery, the running state of an air conditioner in the automobile, the position of the automobile and the speed of the automobile;
the data processing and control module is used for calculating the remaining endurance mileage of the electric vehicle by considering the current average power consumption of the whole vehicle; receiving an upper control instruction, executing the differential adjustment of the set temperature of the vehicle-mounted air conditioner, and providing the ordered charge and discharge path planning information of the electric vehicle;
and the communication module adopts a 4G/5G network to upload the driving data of the electric automobile to the cloud monitoring and dispatching platform and simultaneously receives ordered charge and discharge temperature regulation and control and path planning instructions issued by the cloud monitoring and dispatching platform.
4. The flexible air conditioner load-based dispatching system for stabilizing overload of transformer substation according to claim 1, wherein the user side data acquisition control system comprises a communication module, a data acquisition processing module and a control module;
the communication module receives a room temperature control instruction issued by the regional coordination scheduling system and transmits the instruction to the control module;
the data acquisition processing module acquires the electricity consumption of the user, identifies the situation that the electric equipment of the user participates in the power demand response through load analysis, and uploads the data to the regional coordination scheduling system through the communication module;
and the control module executes a set temperature instruction for adjusting the room air conditioner, which is issued by the cloud monitoring center.
5. A method for scheduling a stabilized substation overload based on a flexible air conditioning load by using the system as claimed in any one of claims 1 to 4, characterized in that: the cloud monitoring and dispatching platform realizes power grid dispatching by controlling two flexible air conditioning loads, namely an electric automobile group vehicle-mounted air conditioner load and a massive user room air conditioning load, and realizes control of the whole electric automobile energy consumption and the electric automobile endurance capacity by controlling the temperature of a cabin; the power consumption of the power grid in the peak period is reduced by controlling the set temperature of the air conditioner between the user side rooms, so that peak clipping and valley filling of the power grid load are realized, and the overload of a local transformer substation is stabilized;
according to the acquired data of the electric vehicle, the charging station, the transformer substation and the user, taking the minimum power grid daily load fluctuation variance as a scheduling target, and constructing an ordered charging and discharging scheduling model and a room air conditioner regulation model of the electric vehicle clusters in running; the electric vehicle cluster ordered charge-discharge scheduling during running comprises planning a running path from an electric vehicle to a target charging station and controlling the temperature of a vehicle cabin influencing the electric quantity loss of the electric vehicle; the room air conditioner regulation model refers to pre-regulating the set temperature of the room air conditioner of a user;
forming constraint conditions of an ordered charge-discharge scheduling model of the electric vehicle according to a preset temperature controllable range of the electric vehicle, a continuous mileage range of the electric vehicle and a battery state of the electric vehicle; constructing a substation capacity constraint condition according to the substation capacity and the line capacity; according to the current load condition of the transformer substation and the predicted load change curve, the temperature in the cabin of the electric automobile is regulated in a temperature controllable range by combining the electric automobile load prediction curve so as to control the electric energy loss, the air-conditioning temperature control of a user room is regulated so as to reduce the electricity consumption condition, and the driving path from the electric automobile to the target charging station is optimized in the predicted range of the endurance mileage.
6. The flexible air conditioner load-based dispatching method for stabilizing overload of transformer substation, according to claim 5, is characterized in that the single electric automobile cabin temperature control modeling step is as follows:
step S101, by adjusting the temperature T set by the air conditioner of the ith electric automobile i S (T) making the cabin temperature T of the electric automobile i V (t) maintaining a certain temperature range, and changing electricity by controlling the power consumption of the air conditionerEnergy consumption of electric automobile battery, thereby changing endurance mileage M of electric automobile i (t) constructing a single electric automobile cabin temperature change model:
wherein ,Ti V (t) represents the cabin temperature of the ith electric automobile; t (T) am (t) represents the ambient temperature and,
the air conditioner refrigerating capacity in the ith electric automobile is represented; />
The heat dissipation capacity of the human body of the q individuals in the ith electric automobile is represented; />
The heat dissipation capacity of other equipment in the cabin of the ith electric automobile is represented; p (P) i ac (t) represents the air conditioning refrigeration power in the ith electric automobile, COP represents the air conditioning refrigeration energy efficiency ratio, C represents the equivalent heat capacity, which is the product of the volume of the cabin and the specific heat capacity of air, R represents the equivalent thermal resistance, and is related to the thermal conductivity of the cabin;
step S102, according to the cabin temperature change model constructed in the step S101, an electric vehicle endurance mileage evaluation model after the use of an electric vehicle air conditioner is considered as follows:
wherein ,Pi MT Represents the output power of the motor of the ith electric automobile, M i (t) represents the range, ε of the ith electric vehicle bat Representing the loss coefficient of the battery of the electric automobile, B i The battery capacity of the i-th electric automobile,
represents the current state of charge, eta of the ith electric automobile battery dis Represents the discharge efficiency, eta of the battery M Indicating motor efficiency, P i as Represents auxiliary service power eta of the ith electric automobile as Representing auxiliary service efficiency of the ith electric automobile; v i Representing the speed of the ith electric automobile;
step S103, according to the model constructed in steps S101 and S102, the constraint conditions of charging and discharging of the electric automobile are as follows:
step S1031, the electric vehicle battery cannot be overcharged and overdischarged, and the constraint is:
wherein ,
representing the minimum electric quantity of the battery discharge early warning of the electric automobile, < + >>
Representing the highest electric quantity of the battery charge of the electric automobile;
step S1032, the electric quantity of the discharged electric power after the electric automobile is charged and discharged is required to meet the customer demand, and the constraint is as follows:
wherein ,
indicating electric automobile connectionCharging capacity during charging pile>
Indicating the discharge electric quantity during the electric automobile is connected to the charging pile, < >>
Indicating the expected charge of the electric car user, +.>
Represents the initial electric quantity eta of the electric automobile when the electric automobile is connected into the charging pile cha Representing the charging efficiency of the electric automobile;
in step S1033, the mileage of the path planning cannot exceed the endurance mileage, and the constraint is:
0≤x total (t)≤M i (t) (6)
wherein ,xtotal And (t) represents the total travel path planned by the electric vehicle path.
7. The flexible air conditioner load-based dispatching method for stabilizing overload of transformer substation according to claim 5, wherein the purpose of establishing the minimum power grid daily load fluctuation variance model is to make the capacity of the transformer substation not overloaded on the premise of peak clipping and valley filling, and the formula is as follows:
wherein Pbase (t) represents a base load in the electrical network,
indicating that a new electric vehicle has been in the grid prior to incorporation into the gridElectric vehicle load of (2), is +,>
representing the charging load of the electric vehicle newly added into the power grid and scheduled by temperature control and path planning at the moment t, < + >>
Representing the discharge load of the newly-network-accessed electric automobile scheduled by temperature control and path planning, +.>
Representing the average load of the grid;
the scheduling constraint condition is that the transformer substation cannot be overloaded, namely the load of the transformer substation cannot exceed the capacity of the transformer substation, and the formula is as follows:
P t base +P t sta +P t NL -P t RAC -P t dis ≤S N ·cosψ (9)
wherein ,Pt base Representing the base load of the power grid in the region at the moment t, P t sta Representing the charging load of the newly added electric automobile in the t moment region, P t NL Represents the line loss at the time t, P t RAC Representing the reduction amount of the air conditioner load of the room at the time t, P t dis Represents the discharge power of the electric automobile at the time t, S N Representing the rated power of the transformer, cos ψ represents the power factor of the transformer.
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